Szilard Nemeth 42358169f6 YARN-10454: Add applicationName policy. Contributed by Peter Bacsko 4 gadi atpakaļ
..
bin 8c9018d5c7 YARN-9899. Migration tool that help to generate CS config based on FS config [Phase 2]. Contributed by Peter Bacsko 5 gadi atpakaļ
conf 474fa80bfb HADOOP-17277. Correct spelling errors for separator (#2322) 4 gadi atpakaļ
dev-support 6e3d7050a9 YARN-10386. Create new JSON schema for Placement Rules. Contributed by Peter Bacsko and Benjamin Teke 4 gadi atpakaļ
hadoop-yarn-api 1841a5bb03 YARN-10376. Create a class that covers the functionality of UserGroupMappingPlacementRule and AppNameMappingPlacementRule using the new mapping rules. Contributed by Gergely Pollak. 4 gadi atpakaļ
hadoop-yarn-applications 5c927eb550 YARN-10360. Support Multi Node Placement in SingleConstraintAppPlacementAllocator 4 gadi atpakaļ
hadoop-yarn-client c049296235 YARN-10106. Yarn logs CLI filtering by application attempt. Contributed by Hudáky Márton Gyula 4 gadi atpakaļ
hadoop-yarn-common bbbfa7d415 HADOOP-17286. Updated jQuery in yarn-common. (#2340) 4 gadi atpakaļ
hadoop-yarn-csi 10d218934c YARN-10344. Sync netty versions in hadoop-yarn-csi. (#2126) 4 gadi atpakaļ
hadoop-yarn-registry 8914cf9167 Preparing for 3.4.0 development 5 gadi atpakaļ
hadoop-yarn-server 42358169f6 YARN-10454: Add applicationName policy. Contributed by Peter Bacsko 4 gadi atpakaļ
hadoop-yarn-site 7ec16ac7f6 YARN-10443. Document options of logs CLI. Contributed by Ankit Kumar. 4 gadi atpakaļ
hadoop-yarn-ui 75db5526b5 YARN-1806. Add ThreadDump Option in YARN UI2 to fetch for running containers 4 gadi atpakaļ
shellprofile.d 730bc746f9 HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) 9 gadi atpakaļ
README c9b525bd94 YARN-6943. Update Yarn to YARN in documentation. Contributed by Chetna Chaudhari. 7 gadi atpakaļ
pom.xml 8914cf9167 Preparing for 3.4.0 development 5 gadi atpakaļ

README

YARN (YET ANOTHER RESOURCE NEGOTIATOR or YARN Application Resource Negotiator)
------------------------------------------------------------------------------

Requirements
-------------
Java: JDK 1.6
Maven: Maven 3

Setup
-----
Install protobuf 2.5.0 (Download from http://code.google.com/p/protobuf/downloads/list)
- install the protoc executable (configure, make, make install)
- install the maven artifact (cd java; mvn install)


Quick Maven Tips
----------------
clean workspace: mvn clean
compile and test: mvn install
skip tests: mvn install -DskipTests
skip test execution but compile: mvn install -Dmaven.test.skip.exec=true
clean and test: mvn clean install
run selected test after compile: mvn test -Dtest=TestClassName (combined: mvn clean install -Dtest=TestClassName)
create runnable binaries after install: mvn assembly:assembly -Pnative (combined: mvn clean install assembly:assembly -Pnative)

Eclipse Projects
----------------
http://maven.apache.org/guides/mini/guide-ide-eclipse.html

1. Generate .project and .classpath files in all maven modules
mvn eclipse:eclipse
CAUTION: If the project structure has changed from your previous workspace, clean up all .project and .classpath files recursively. Then run:
mvn eclipse:eclipse

2. Import the projects in eclipse.

3. Set the environment variable M2_REPO to point to your .m2/repository location.

NetBeans Projects
-----------------

NetBeans has builtin support of maven projects. Just "Open Project..."
and everything is setup automatically. Verified with NetBeans 6.9.1.


Custom Hadoop Dependencies
--------------------------

By default Hadoop dependencies are specified in the top-level pom.xml
properties section. One can override them via -Dhadoop-common.version=...
on the command line. ~/.m2/settings.xml can also be used to specify
these properties in different profiles, which is useful for IDEs.

Modules
-------
YARN consists of multiple modules. The modules are listed below as per the directory structure:

hadoop-yarn-api - YARN's cross platform external interface

hadoop-yarn-common - Utilities which can be used by yarn clients and server

hadoop-yarn-server - Implementation of the hadoop-yarn-api
hadoop-yarn-server-common - APIs shared between resourcemanager and nodemanager
hadoop-yarn-server-nodemanager (TaskTracker replacement)
hadoop-yarn-server-resourcemanager (JobTracker replacement)

Utilities for understanding the code
------------------------------------
Almost all of the yarn components as well as the mapreduce framework use
state-machines for all the data objects. To understand those central pieces of
the code, a visual representation of the state-machines helps much. You can first
convert the state-machines into graphviz(.gv) format by
running:
mvn compile -Pvisualize
Then you can use the dot program for generating directed graphs and convert the above
.gv files to images. The graphviz package has the needed dot program and related
utilites.For e.g., to generate png files you can run:
dot -Tpng NodeManager.gv > NodeManager.png